2018 Keynote Speakers | 主旨报告

Prof. Ding Han, an expert in mechanical engineering, was born in August 1963 in Zongyang, Anhui. Prof. Ding is the dean of School of Mechanical Science and Engineering, and the director of State Key Laboratory of Digital Manufacturing and Equipment Technology. In 2013, he was elected as a member of Chinese Academy of Sciences.
Prof. Ding received his bachelor degree of Automobile Manufacture from Xi’an Highway Scientific Academy (now Chang’an University) in 1982, master degree of Mechanical Manufacturing and Automation from Wuhan University of Technology in 1985, and Ph.D. degree from Huazhong University of Science and Technology (HUST) in 1989. Then, he worked in HUST until now. Supported by Alexander von Humboldt Foundation, he visited the University of Stuttgart (Germany) from 1993 to 1994. Then, he visited the School of Electrical and Electronic Engineering, Nanyang Technological University (Singapore) from 1994 to 1996. He obtained the National Natural Science Funds for Distinguished Young Scholar in 1997, and was employed as the “Cheung Kong” Chair Professor in 2001. He has been appointed as the leading scientist for National 973 Program twice in 2005 and 2011.
Prof. Ding is a conference editorial board committee member of IEEE International Conference on Robotics and Automation from 2011 to 2012. He also acted as an associate editor (2003-2007) and an editor (2011-) of IEEE Transactions on Automation Science and Engineering. He has worked as a technical editor of IEEE/ASME Transactions on Mechatronics from 2010 until now.
Prof. Ding has dedicated himself to the research in the field of digital manufacturing for a long time, and has successfully combined the robotics and manufacturing technologies together. He proposed the theory of complex surfaces machining with high strip widths, explored the error propagation mechanism hidden in the interior of “tool motion – cutter envelop – machining error”. Prof. Ding has established the full-discretization method for prediction of machining stability to ensure high-performance machining without chatter vibrations. Moreover, he presented a robotic motion planning method, and developed a “Measuring-Manipulating-Machining (3M)” system for grinding of large blades. His research results have been applied in the aerospace, energy and automobile fields, which have yielded remarkable economic profits.
Prof. Ding has published three academic books and more than 150 SCI journal papers, and licensed more than 20 patents in China. He has received 2nd-class prize of the National Natural Science Award, and 2nd/3rd-class prize of the National Science and Technology Progress Award twice/once.

Prof. Xiaoming Huo
Georgia Institute of Technology, Atlanta, USA

Xiaoming Huo is a professor at the Stewart School of Industrial & Systems Engineering at Georgia Tech. Dr. Huo’s research interests include statistical theory, statistical computing, and issues related to data analytics. He has made numerous contributions on topics such as sparse representation, wavelets, and statistical problems in detectability. His papers appeared in top journals, and some of them are highly cited. He is a senior member of IEEE since May 2004. He was a Fellow of IPAM in September 2004. He won the Georgia Tech Sigma Xi Young Faculty Award in 2005. His work has led to an interview by Emerging Research Fronts in June 2006 in the field of Mathematics — every two months, one paper is selected.
Dr. Huo received the B.S. degree in mathematics from the University of Science and Technology, China, in 1993, and the M.S. degree in electrical engineering and the Ph.D. degree in statistics from Stanford University, Stanford, CA, in 1997 and 1999, respectively. Since August 1999, he has been an Assistant/Associate/Full Professor with the School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta. He represented China in the 30th International Mathematical Olympiad (IMO), which was held in Braunschweig, Germany, in 1989, and received a golden prize.